We are excited to announce the first formal summer internship program at RStudio. The goal of our internship program is to enable RStudio employees to collaborate with current students (broadly construed: if you think of yourself as a student you quality) to create impactful and useful applications that will help both RStudio users and the broader R community, and help ensure that the community of R developers is representative of the community of R users.
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Over the past year we’ve been hard at work on creating R interfaces to TensorFlow, an open-source machine learning framework from Google. We are excited about TensorFlow for many reasons, not the least of which is its state-of-the-art infrastructure for deep learning applications.
In the 2 years since it was initially open-sourced by Google, TensorFlow has rapidly become the framework of choice for both machine learning practitioners and researchers. On Saturday, we formally announced our work on TensorFlow during J.
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We are excited to share that sparklyr 0.7 is now available on CRAN! Sparklyr provides an R interface to Apache Spark. It supports dplyr syntax for working with Spark DataFrames and exposes the full range of machine learning algorithms available in Spark. You can also learn more about Apache Spark and sparklyr in spark.rstudio.com and our new webinar series on Apache Spark. Features in this release:
Adds support for ML Pipelines which provide a uniform set of high-level APIs to help create, tune, and deploy machine learning pipelines at scale.
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Shiny Server 1.5.6.875 and Shiny Server Pro 1.5.6.902 are now available.
This release of Shiny Server Pro includes floating license support and Shiny Server contains a small enhancement to the way errors are displayed. We recommend upgrading at your earliest convenience.
Shiny Server 1.5.6.875 Use HTTPS for Google Fonts on error page, which resolves insecure content errors on some browser when run behind SSL. (PR #322) Shiny Server Pro 1.
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RStudio appreciates the hundreds of smart, passionate, data science enthusiasts who have already registered for rstudio::conf 2018. We’re looking forward to a fantastic conference, immersing in all things R & RStudio.
If you haven’t registered yet, please do! Some workshops are now full. We are also over 90% of our registration target - with more than 2 months to go. It’s safe to say we will sell out. The sooner you are able to register, the better.
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We’re pleased to announce version 1.5.10 of RStudio Connect and the general availability of RStudio Connect Execution Servers. Execution Servers enable horizontal scaling and high availability for all the content you develop in R. The 1.5.10 release also includes important security improvements and bug fixes.
RStudio Connect Execution Servers
Support for high availability and horizontal scaling is now generally available through RStudio Connect Execution Servers. Execution Servers enable RStudio Connect to run across a multi-node cluster.
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The pool package makes it easier for Shiny developers to connect to databases. Up until now, there wasn’t a clearly good way to do this. As a Shiny app author, if you connect to a database globally (outside of the server function), your connection won’t be robust because all sessions would share that connection (which could leave most users hanging when one of them is using it, or even all of them if the connection breaks).
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rstudio::conf 2018, the conference on all things R and RStudio, is only a few months away. Now is the time to claim your spot or grab one of the few remaining seats at Training Days!
REGISTER NOW
Whether you’re already registered or still working on it, we’re delighted today to announce the full conference schedule, so that you can plan your days in San Diego. rstudio::conf 2017 takes place January 31-Feb 3 at the Manchester Grand Hyatt, California.
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Today we’re pleased to announce a new category of community.rstudio.com dedicated to R administrators: https://community.rstudio.com/c/r-admin.
There are already multiple places where you can get help with R, Shiny, the RStudio IDE, and the tidyverse. There are, however, far fewer resources for R admins: people who work with R in production, in large organizations, and in complex environments. We hope this new category will serve as a useful and friendly place to connect with fellow R admins to discuss the issues they deal with.
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